By Christophe Cérin, Kuan-Ching Li
This e-book constitutes the refereed court cases of the second one overseas convention on Grid and Pervasive Computing, GPC 2007, held in Paris, France in might 2007.
The fifty six revised complete papers and 12 revised brief papers have been conscientiously chosen from 217 submissions in the course of rounds of reviewing and development. The papers tackle all elements of grid and pervasive computing and concentrate on subject matters corresponding to cluster computing, excessive functionality computing, grid computing, semantic net and semantic grid, service-oriented computing, peer-to-peer computing, pervasive computing, cellular computing, community garage, in addition to grid and pervasive comparable applications.
Read Online or Download Advances in Grid and Pervasive Computing: Second International Conference, GPC 2007, Paris, France, May 2-4, 2007, Proceedings PDF
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Additional info for Advances in Grid and Pervasive Computing: Second International Conference, GPC 2007, Paris, France, May 2-4, 2007, Proceedings
Fig. 5. The cross-zone problem However, the current implementation of SRB does not well support the resource utilization cross difference zones by GSI authentication. As shown in Figure 5, for example, Grid_User1 and SRB_Server1 are registered in Zone A, as well as SRB_Server2 is registered in Zone B. If we adopt the Java-based client-side APIs, named Jargon, provided by SRB, Grid_User1 connecting to SRB_Server2 by GSI authentication will be failed to access the resources (Resouce3 and Resource4) in Zone B.
On the other hand, as indexing structures, they support locating relevant data based on their content. Such semantic indexes are extremely efficient in large distributed systems, where accessing data becomes difficult and costly. Besides, we have addressed peer dynamicity which is critical in both P2P and Grid applications. This paper made two main contributions. First, we defined a summary model for P2P systems, based on the S AINT E TI Q process. S AINT E TI Q generates database summaries with low complexity, and can be distributed and parallelized which makes it scalable in a distributed environment.
Some multi-source data transfer mechanisms have been presented recently to solve the above problems [12, 13], whereby a transferred data object can be assembled in parallel from multiple distributed replica sources as shown in Figure 3(b). To improve the data transfer rate, we propose an efficient data transfer algorithm, called SelfAdaptation. It not only enables the data transfer from multiple replica sites as other multi-source data transfer algorithms, but is also more adaptive to the network bandwidth fluctuations.
Advances in Grid and Pervasive Computing: Second International Conference, GPC 2007, Paris, France, May 2-4, 2007, Proceedings by Christophe Cérin, Kuan-Ching Li